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Our Growing Python Toolkit
Python is simple, versatile and has a rich ecosystem of libraries. Its intuitive syntax enables easy and effective test automation and data analysis. Combine Python with our growing ecosystem of Python tools to unlock higher productivity and innovation in your testing process.
With tm_devices you can automate using Python functions with minimal SCPI. A reduction of almost 90%!
TekHSI maximizes transfer speeds from oscilloscope to PC. Our Python library, TekHSI, can be integrated directly into your own Python code, replacing SCPI with modern asynchronous code, and faster transfer rates than VISA based methods.
tm_data_types library resolves the headaches of waveform file manipulation. You can stop worrying about bytes and headers and get to your analysis faster.
Python Packages
Develop Faster with tm_devices
tm_devices allows you to write syntax-checked, code-completed automation virtually error free. Skip the hassles of PyVISA Configuration when tm_devices has been pre-configured for all of our instruments out of the box.
Use the tm_devices Python driver package to enjoy:
- Faster development with auto-completion and code suggestions.
- Seamless integration when you add the Python driver package to your existing automation framework.
- Benefits from an active community constantly developing new tools and solutions.
Review the current list of supported instruments, including Tektronix 5 and 6 Series MSO oscilloscopes and several other Tektronix oscilloscopes, many Keithley SMU instruments and the DPOJET application. An expanding number of test device categories are planned for future releases.
Get Instant Results with TekHSI Python Library
HSI moves data from oscilloscopes to PC at significantly faster speeds compared to VXI-11 ethernet (VISA) connections. When enabled, your oscilloscope hosts itself as a high-speed interface server allowing remote clients (PCs) to connect seamlessly.
In addition to working with TekScope PC, we have a Python package, TekHSI, that allows you to integrate this superspeed solution right into your existing Python automation.
Focus on Waveform Analysis with tm_data_types Coming Soon!
Check out the early access tm_data_types package with Python containers for AnalogWaveforms, DigitalWaveforms, and even IQWaveforms. It also has simple methods to read and write waveform files directly.
Try out tm_data_types today and let us know how we can make it better.
